Best of ETL — January 2025

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   Article

   Data Engineer Things·1y

   I spent 6 hours learning AWS Glue. Here is what I found

   AWS Glue is a serverless data integration service that simplifies and automates the ETL process, enabling users to integrate data from various sources, preprocess and transform it, and make it available for analytics. It seamlessly integrates with AWS services like S3, Redshift, and Athena and supports cost-effective and scalable data processing. Key components include Glue Studio, Glue ETL Library with DynamicFrames, and serverless execution with auto-scaling. The Glue Data Catalog acts as a central repository for metadata, facilitating efficient data discovery and management.

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   Article

   Open Source·1y

   Pyper - Concurrent Python Made Simple

   Pyper is a flexible, pure-Python framework designed for concurrent and parallel data processing. It features an intuitive API that unifies threaded, multiprocessed, and asynchronous work using functional programming principles. Pyper ensures safety by managing underlying task execution and resource clean-up, and it is optimized for efficiency with lazy execution through queues, workers, and generators.

   19
3. 3
   Article

   Tiger's Place·1y

   Data Loading Patterns (data integration)

   Discusses various data loading patterns for data integration, including full snapshot load, incremental load, delta load, and real-time updates. It explains the implementation techniques, key challenges, and use cases for each method, highlighting how they address different efficiency, history tracking, and immediacy requirements.

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